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Baylor vs Arizona St.: First Team to Score a TD
kalshi

What is the result of Baylor vs Arizona St.?

Volume:
$3,777

Baylor

 - Kalshi

Baylor - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 11:01 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Baylor

View
100%
Yes 100¢No 0¢
—
N/A
$1,960
N/A
N/A
$1,807
Settled
Yes
kalshi

No team

0%
Yes 0¢No 100¢
—
N/A
$910
N/A
N/A
$723
Settled
No
kalshi

Arizona St.

0%
59%
Yes 0¢No 100¢
—
N/A
$906
N/A
N/A
$813
Settled
No
Total markets: 3

Description

This event tracks which team will score the first touchdown in an upcoming college football game between Baylor and Arizona State. It includes scenarios where either team scores first, or neither team manages to score a touchdown during the entire match, including any overtime periods.

Kalshi

The event determines which team scores the first touchdown in the Baylor vs Arizona State college football game scheduled for October 3, 2026, with three possible outcomes: Arizona State scores first, Baylor scores first, or no team scores a touchdown at all. All types of touchdowns—offensive, defensive, and special teams—are counted, including those scored in overtime. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the actual result. If the game does not start within 48 hours, the market resolves to a fair price. The event is not endorsed by the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines which are set by oddsmakers. Sportsbooks often incorporate a 'vig' or commission into their odds, while this market allows traders to directly assess the probability of each outcome. As more information becomes available – like team news or weather forecasts – both prediction market prices and sportsbook odds will adjust. However, prediction markets can sometimes be more accurate than traditional sportsbooks, especially closer to the event, as they aggregate diverse perspectives and incentivize accurate predictions.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – which team scores first, or neither team scores. The price of a contract reflects the market's assessment of the probability of that outcome occurring. As more traders participate, the prices converge to reflect the collective belief. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if many traders believe Baylor will score first, the price of that outcome will rise, and vice versa. This dynamic pricing mechanism allows for a real-time assessment of probabilities.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team scores the first touchdown in the Baylor versus Arizona State game. If neither team scores a touchdown during the game, that outcome will be considered the result. The official game statistics will serve as the basis for determining the winning outcome, ensuring a transparent and verifiable resolution process for this market.

Several factors could influence the price of this market. Any news regarding key player injuries for either Baylor or Arizona State would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to a run-heavy offense, could also impact the market. Unexpected coaching decisions or strategic shifts announced before the game could also play a role. Finally, any significant public sentiment shifts, perhaps driven by expert analysis or social media trends, could influence trading activity and therefore the prices in this market.